2 papers
cs.CV2026
R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation
Nicolas Sereyjol-Garros, Ellington Kirby, Victor Besnier +1
LiDAR scene synthesis is an emerging solution to scarcity in 3D data for robotic tasks such as autonomous driving. Recent approaches employ diffusion or flow matching models to gen…
cs.CV2026
Test-Time Conditioning with Representation-Aligned Visual Features
Nicolas Sereyjol-Garros, Ellington Kirby, Victor Letzelter +2
While representation alignment with self-supervised models has been shown to improve diffusion model training, its potential for enhancing inference-time conditioning remains large…